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Bank card recognition OCR
Bank card recognition OCR
First, bank card recognition OCR application background
Pattern recognition refers to various forms of representation of things or phenomena of the (numerical, text and logical relations) information processing and analysis, process description, identification, classification and explanation of things or phenomena, is an important part of artificial intelligence and information science division. Identification is divided into optical recognition, biometrics, speech recognition, magnetic identification, radio frequency identification, etc.. OCR refers to the electronic equipment (such as a scanner or digital camera) check character printed on paper, through the detection of dark and bright patterns determine its shape, shape and then translated into computer text with character recognition; i.e., for printed characters, using optical way of paper documents in the text into black and white dot matrix image file, and convert the image into text format through text recognition software, word processing software for further editing and processing technology. How to debug or use of auxiliary information to improve the recognition accuracy, is the most important subject of OCR, the ICR term is generated therefore. The main indicators to measure the performance of a OCR system are: rejection rate, error rate, recognition speed, user interface friendliness, product stability, ease of use and feasibility, etc.. Now Beijing wintone science and technology according to the demand of the market, the bank card identification OCR technology commercialization, let more people benefit from the liberation of the hands, only mobile phone camera at the bank card will be able to sweep the bank card number is extracted, eliminating the need to manually input, improve the efficiency of bank card binding, improve the user experience.
Two, bank card recognition OCR features
1, bank card recognition OCR speed, the average recognition time of <0.5 seconds;
2, bank card recognition OCR localization identification, do not need networking;
3, bank card recognition OCR rate is high, the character recognition rate of >99.5%;
4, bank card identification OCR support system can support Android, iOS mainstream mobile operating system, APP integrated bank card identification OCR, mobile phone, tablet computer of bank card shooting recognition can automatically identify the bank card by the user; the bank card identification technology of OCR can also be deployed in recognition of the server, which can support Linux 32/64 operating system, Windows 32 and /64 operating system. Users can be deployed to their own servers, APP can directly call the API bank card to identify OCR services.
5, bank card recognition OCR support hardware: mobile phone, tablet, computer front camera
6, the bank card recognition OCR variety, support the domestic banks credit card, savings card, including plane font and concave and convex fonts, and vertical card and special card.
Pattern recognition refers to various forms of representation of things or phenomena of the (numerical, text and logical relations) information processing and analysis, process description, identification, classification and explanation of things or phenomena, is an important part of artificial intelligence and information science division. Identification is divided into optical recognition, biometrics, speech recognition, magnetic identification, radio frequency identification, etc.. OCR refers to the electronic equipment (such as a scanner or digital camera) check character printed on paper, through the detection of dark and bright patterns determine its shape, shape and then translated into computer text with character recognition; i.e., for printed characters, using optical way of paper documents in the text into black and white dot matrix image file, and convert the image into text format through text recognition software, word processing software for further editing and processing technology. How to debug or use of auxiliary information to improve the recognition accuracy, is the most important subject of OCR, the ICR term is generated therefore. The main indicators to measure the performance of a OCR system are: rejection rate, error rate, recognition speed, user interface friendliness, product stability, ease of use and feasibility, etc.. Now Beijing wintone science and technology according to the demand of the market, the bank card identification OCR technology commercialization, let more people benefit from the liberation of the hands, only mobile phone camera at the bank card will be able to sweep the bank card number is extracted, eliminating the need to manually input, improve the efficiency of bank card binding, improve the user experience.
Two, bank card recognition OCR features
1, bank card recognition OCR speed, the average recognition time of <0.5 seconds;
2, bank card recognition OCR localization identification, do not need networking;
3, bank card recognition OCR rate is high, the character recognition rate of >99.5%;
4, bank card identification OCR support system can support Android, iOS mainstream mobile operating system, APP integrated bank card identification OCR, mobile phone, tablet computer of bank card shooting recognition can automatically identify the bank card by the user; the bank card identification technology of OCR can also be deployed in recognition of the server, which can support Linux 32/64 operating system, Windows 32 and /64 operating system. Users can be deployed to their own servers, APP can directly call the API bank card to identify OCR services.
5, bank card recognition OCR support hardware: mobile phone, tablet, computer front camera
6, the bank card recognition OCR variety, support the domestic banks credit card, savings card, including plane font and concave and convex fonts, and vertical card and special card.